extra new ryzen zen4

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2301091-PTS-EXTRANEW50
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Audio Encoding 3 Tests
AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 2 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 12 Tests
C/C++ Compiler Tests 23 Tests
Compression Tests 2 Tests
CPU Massive 33 Tests
Creator Workloads 27 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 3 Tests
Game Development 3 Tests
HPC - High Performance Computing 18 Tests
Imaging 6 Tests
Machine Learning 8 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 5 Tests
Multi-Core 41 Tests
NVIDIA GPU Compute 7 Tests
Intel oneAPI 2 Tests
OpenCL 2 Tests
OpenMPI Tests 9 Tests
Programmer / Developer System Benchmarks 18 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 6 Tests
Scientific Computing 7 Tests
Software Defined Radio 2 Tests
Server 3 Tests
Server CPU Tests 25 Tests
Single-Threaded 5 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 4 Tests

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  Test
  Duration
7700
December 31 2022
  6 Hours, 29 Minutes
7900
December 30 2022
  5 Hours, 59 Minutes
Ryzen 7600 AMD
January 03 2023
  1 Day, 4 Hours, 44 Minutes
AMD 7600
January 04 2023
  7 Hours, 11 Minutes
AMD 7700
January 02 2023
  6 Hours, 26 Minutes
Ryzen 7 7700
January 01 2023
  6 Hours, 29 Minutes
Ryzen 7600
January 05 2023
  7 Hours, 13 Minutes
Ryzen 9 7900
December 29 2022
  6 Hours
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  9 Hours, 19 Minutes

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extra new ryzen zen4ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.4Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900Result OverviewPhoronix Test Suite100%122%145%167%189%C-RayMobile Neural NetworkStockfishOpenSSLCoremarkIndigoBenchTachyonXmrigasmFishChaos Group V-RAYBlenderASTC EncoderAircrack-ngNAMDStargate Digital Audio WorkstationCpuminer-Opt7-Zip CompressionLAMMPS Molecular Dynamics SimulatorTimed LLVM CompilationTimed Linux Kernel CompilationTimed MPlayer CompilationPrimesieveAppleseedBuild2oneDNNGROMACSTimed Godot Game Engine CompilationTimed FFmpeg CompilationSVT-HEVCTimed Mesa CompilationNCNNx264SVT-VP9RodiniaNAS Parallel Benchmarkslibavif avifencOpenFOAMx265KvazaarTimed PHP CompilationGPAWY-CruncherTimed Wasmer CompilationSVT-AV1Xcompact3d Incompact3dDarktableNeural Magic DeepSparseJPEG XL Decoding libjxlTimed GDB GNU Debugger CompilationOpenVINOnekRSONNX RuntimeLiquid-DSPVP9 libvpx EncodingGIMPTimed CPython CompilationZstd CompressionGNU RadioAlgebraic Multi-Grid BenchmarkTimed Apache CompilationJPEG XL libjxlLeelaChessZeroNgspiceDaCapo BenchmarkPHPBenchTNNQuantLibCraftysimdjsonPyBenchGitPyPerformanceWebP Image EncodeFLAC Audio EncodingLAME MP3 Encoding

extra new ryzen zen4build-linux-kernel: allmodconfigblender: Barbershop - CPU-Onlylczero: Eigengnuradio: Hilbert Transformgnuradio: FM Deemphasis Filtergnuradio: IIR Filtergnuradio: FIR Filtergnuradio: Signal Source (Cosine)gnuradio: Five Back to Back FIR Filtersbuild-llvm: Unix Makefilesbuild-llvm: Ninjanekrs: TurboPipe Periodicappleseed: Emilyblender: Pabellon Barcelona - CPU-Onlyjpegxl: JPEG - 100lczero: BLASblender: Classroom - CPU-Onlyappleseed: Disney Materialappleseed: Material Testerjpegxl: PNG - 100onnx: fcn-resnet101-11 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: yolov4 - CPU - Standardsvt-hevc: 1 - Bosphorus 4Kopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timegpaw: Carbon Nanotubemnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnetrodinia: OpenMP LavaMDopenssl: SHA256primesieve: 1e13npb: EP.Dbuild-python: Released Build, PGO + LTO Optimizedtnn: CPU - DenseNetblender: Fishy Cat - CPU-Onlyxmrig: Monero - 1Mnpb: SP.Ctachyon: Total Timegromacs: MPI CPU - water_GMX50_bareavifenc: 0onnx: fcn-resnet101-11 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardstockfish: Total Timeblender: BMW27 - CPU-Onlyasmfish: 1024 Hash Memory, 26 Depthxmrig: Wownero - 1Mjpegxl: JPEG - 80jpegxl: PNG - 80npb: BT.Cbuild2: Time To Compilebuild-godot: Time To Compilestargate: 192000 - 512simdjson: Kostyastargate: 192000 - 1024jpegxl: JPEG - 90namd: ATPase Simulation - 327,506 Atomsbuild-linux-kernel: defconfigjpegxl: PNG - 90onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUngspice: C2670simdjson: LargeRandrodinia: OpenMP Leukocyteonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUngspice: C7552pyperformance: python_startupv-ray: CPUvpxenc: Speed 0 - Bosphorus 4Kncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUastcenc: Exhaustivesimdjson: DistinctUserIDsimdjson: TopTweetstargate: 96000 - 512openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUsimdjson: PartialTweetsopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUindigobench: CPU - Bedroomindigobench: CPU - Supercaropenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUstargate: 96000 - 1024openvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUavifenc: 2openvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcpuminer-opt: Triple SHA-256, Onecoinopenssl: RSA4096openssl: RSA4096rodinia: OpenMP HotSpot3Dkvazaar: Bosphorus 4K - Mediumnpb: LU.Csvt-hevc: 1 - Bosphorus 1080pc-ray: Total Time - 4K, 16 Rays Per Pixeldeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streambuild-php: Time To Compiledeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamsvt-av1: Preset 4 - Bosphorus 4Kdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streambuild-gdb: Time To Compilebuild-wasmer: Time To Compilestargate: 480000 - 512compress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedstargate: 44100 - 512stargate: 480000 - 1024npb: IS.Ddeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamstargate: 44100 - 1024pyperformance: raytracedeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streambuild-ffmpeg: Time To Compilecompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedbuild-mesa: Time To Compiledeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamjpegxl-decode: 1deepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamcompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedastcenc: Thoroughcoremark: CoreMark Size 666 - Iterations Per Secondgit: Time To Complete Common Git Commandsvpxenc: Speed 0 - Bosphorus 1080px265: Bosphorus 4Ky-cruncher: 1Bpyperformance: 2to3pyperformance: django_templatepyperformance: pathlibbuild-mplayer: Time To Compileaircrack-ng: cpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Garlicoincpuminer-opt: Blake-2 Scpuminer-opt: scryptcpuminer-opt: Magicpuminer-opt: Myriad-Groestlcpuminer-opt: Ringcoincpuminer-opt: LBC, LBRY Creditscpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: x25xpyperformance: regex_compilewebp: Quality 100, Lossless, Highest Compressionliquid-dsp: 2 - 256 - 57pyperformance: nbodynpb: SP.Bvpxenc: Speed 5 - Bosphorus 4Kpyperformance: pickle_pure_pythonquantlib: kvazaar: Bosphorus 4K - Very Fastpyperformance: gox264: Bosphorus 4Kliquid-dsp: 8 - 256 - 57pyperformance: crypto_pyaespyperformance: json_loadsastcenc: Fastonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcrafty: Elapsed Timenpb: FT.Cjpegxl-decode: Allpyperformance: floatliquid-dsp: 24 - 256 - 57liquid-dsp: 1 - 256 - 57liquid-dsp: 4 - 256 - 57liquid-dsp: 16 - 256 - 57incompact3d: input.i3d 129 Cells Per Directionpyperformance: chaoscompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingphpbench: PHP Benchmark Suitenpb: CG.Crodinia: OpenMP CFD Solveronednn: IP Shapes 1D - f32 - CPUbuild-apache: Time To Compileonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUsvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080py-cruncher: 500Mpybench: Total For Average Test Timesprimesieve: 1e12encode-flac: WAV To FLACdacapobench: Tradebeanskvazaar: Bosphorus 4K - Ultra Fasttnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1svt-hevc: 7 - Bosphorus 4Kbuild-python: Defaultonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUvpxenc: Speed 5 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Mediumwebp: Quality 100, Losslessrodinia: OpenMP Streamclusterdacapobench: H2gimp: unsharp-maskamg: gimp: resizeastcenc: Mediumsvt-vp9: Visual Quality Optimized - Bosphorus 4Kgimp: auto-levelsgimp: rotateonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUsvt-vp9: VMAF Optimized - Bosphorus 4Kavifenc: 6, Losslesssvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Knpb: EP.Cnpb: MG.Ctnn: CPU - SqueezeNet v2x265: Bosphorus 1080pdacapobench: Tradesoapsvt-hevc: 10 - Bosphorus 4Konednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUkvazaar: Bosphorus 1080p - Very Fastavifenc: 6svt-av1: Preset 8 - Bosphorus 1080pencode-mp3: WAV To MP3svt-av1: Preset 12 - Bosphorus 4Kwebp: Quality 100, Highest Compressiondarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlysvt-av1: Preset 13 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080pavifenc: 10, Losslessdarktable: Server Room - CPU-onlyx264: Bosphorus 1080pdacapobench: Jythonkvazaar: Bosphorus 1080p - Ultra Fastsvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUlammps: Rhodopsin Proteinsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pwebp: Quality 100svt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pwebp: Defaultdarktable: Server Rack - CPU-onlydacapobench: Eclipse77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 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43564000013.60289.449884.910.2799.4063.179851.544030.35999293.66.765100.142150.5825644.0342.367102.841880134.85.703655.226741.84748118.714.299158.214.809183.6965.303.0563.174190.959218.53.6212.539208.222348215.98294.33.970482.167260.88009311.211334.75344.81437.9617.03649.491728.99240.126OpenBenchmarking.org

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfig77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 6.89, N = 31019.45744.301266.561280.931005.661012.611286.51738.33
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfig77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 1259.54 / Avg: 1266.56 / Max: 1280.34

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 2.65, N = 3983.97723.131284.021284.52973.45989.721282.32723.78
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 1278.74 / Avg: 1284.02 / Max: 1287.02

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 14.96, N = 9154216071495147515401548149916501. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1410 / Avg: 1495.33 / Max: 15681. (CXX) g++ options: -flto -pthread

GNU Radio

GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert Transform77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000SE +/- 5.10, N = 8759.8741.4738.4725.5775.5760.3709.6716.61. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert Transform77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900140280420560700Min: 706.7 / Avg: 738.41 / Max: 750.11. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis Filter77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000SE +/- 2.20, N = 8958.4905.0913.7919.1941.1943.1911.7907.51. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis Filter77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 901.4 / Avg: 913.66 / Max: 920.21. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR Filter77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900120240360480600SE +/- 3.03, N = 8561.1560.7541.5541.8570.8575.8544.3561.21. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR Filter77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900100200300400500Min: 531.5 / Avg: 541.51 / Max: 553.61. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR Filter77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 3.50, N = 81485.91374.71436.81448.51498.31508.71436.21402.11. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR Filter77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1424.8 / Avg: 1436.78 / Max: 1448.71. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790013002600390052006500SE +/- 6.70, N = 86105.95014.05865.65870.76084.96088.95846.25162.01. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011002200330044005500Min: 5831.1 / Avg: 5865.61 / Max: 5888.11. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR Filters77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 16.32, N = 82115.21430.41934.11862.72128.82004.41923.91322.91. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR Filters77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 1893.1 / Avg: 1934.13 / Max: 2014.21. 3.10.1.1

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix Makefiles77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900130260390520650SE +/- 1.68, N = 3511.00375.35621.55622.39495.07503.16621.82374.36
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix Makefiles77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900110220330440550Min: 618.28 / Avg: 621.55 / Max: 623.88

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Ninja77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900130260390520650SE +/- 0.25, N = 3489.62352.63609.12608.68475.85487.73602.78353.54
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Ninja77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900110220330440550Min: 608.62 / Avg: 609.12 / Max: 609.42

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe Periodic77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790014000M28000M42000M56000M70000MSE +/- 29429369.31, N = 355524300000648778000004980863333349735600000560084000005554820000049717500000659745000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe Periodic77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011000M22000M33000M44000M55000MMin: 49776400000 / Avg: 49808633333.33 / Max: 498674000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Emily77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790070140210280350262.66197.26332.51331.38261.24262.06334.20196.70

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790090180270360450SE +/- 0.21, N = 3335.44249.96432.63433.06333.25334.85433.93249.95
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400Min: 432.37 / Avg: 432.63 / Max: 433.04

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 10077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.21150.4230.63450.8461.0575SE +/- 0.02, N = 60.910.920.850.830.880.870.940.861. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 10077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.78 / Avg: 0.85 / Max: 0.921. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 21.50, N = 3158816011514155415191535152016231. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1471 / Avg: 1514 / Max: 15361. (CXX) g++ options: -flto -pthread

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400SE +/- 0.20, N = 3272.78202.67356.47357.10271.59273.36357.35202.13
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300Min: 356.16 / Avg: 356.47 / Max: 356.85

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney Material77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250158.29119.53207.29206.46158.42158.99206.77119.05

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material Tester77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200145.29123.05188.46188.62144.68145.39189.54124.04

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 10077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.2250.450.6750.91.125SE +/- 0.01, N = 30.981.000.950.961.000.970.960.971. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 10077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.93 / Avg: 0.95 / Max: 0.971. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 6.47, N = 121249879981247198931. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 53.5 / Avg: 78.79 / Max: 98.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KSE +/- 114.75, N = 12843199858932920492548444862397481. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KMin: 8284 / Avg: 8931.54 / Max: 91991. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 92.79, N = 12158817351252110725501580192025081. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 1105.5 / Avg: 1252.13 / Max: 1972.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 73.47, N = 1212391083757100012577295347161. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 512 / Avg: 757.25 / Max: 10031. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000SE +/- 40.22, N = 125156945466598275616566931. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900150300450600750Min: 385 / Avg: 545.92 / Max: 6601. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.88651.7732.65953.5464.4325SE +/- 0.00, N = 32.963.942.302.312.982.962.303.941. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.3 / Avg: 2.3 / Max: 2.31. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300254.50176.83273.74274.56251.62254.33274.56176.071. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790081624324031.4126.6935.4535.4731.2331.5935.2926.941. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon Nanotube77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 0.83, N = 3209.08169.05235.98237.47207.91209.84239.33168.931. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon Nanotube77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 234.99 / Avg: 235.98 / Max: 237.621. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025SE +/- 0.24, N = 1515.5120.9216.3914.1214.6015.3716.8722.47MIN: 14.26 / MAX: 35.72MIN: 20.57 / MAX: 28.87MIN: 13.9 / MAX: 24.09MIN: 14.05 / MAX: 15.71MIN: 14.2 / MAX: 25.71MIN: 14.16 / MAX: 25.66MIN: 16.72 / MAX: 18.95MIN: 22.2 / MAX: 30.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 14.13 / Avg: 16.39 / Max: 16.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.83271.66542.49813.33084.1635SE +/- 0.002, N = 151.5583.7012.8542.8481.4821.5182.8643.560MIN: 1.47 / MAX: 4.02MIN: 3.63 / MAX: 3.81MIN: 2.82 / MAX: 9.6MIN: 2.83 / MAX: 3.19MIN: 1.47 / MAX: 3.45MIN: 1.44 / MAX: 4.13MIN: 2.83 / MAX: 14.09MIN: 3.49 / MAX: 4.011. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.84 / Avg: 2.85 / Max: 2.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_22477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.70881.41762.12642.83523.544SE +/- 0.011, N = 151.8123.1501.7451.6381.7351.8271.7703.113MIN: 1.71 / MAX: 3.68MIN: 3.1 / MAX: 3.75MIN: 1.63 / MAX: 8.75MIN: 1.62 / MAX: 2.05MIN: 1.71 / MAX: 3.74MIN: 1.72 / MAX: 3.71MIN: 1.74 / MAX: 3.67MIN: 3.04 / MAX: 3.571. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_22477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.64 / Avg: 1.75 / Max: 1.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.86921.73842.60763.47684.346SE +/- 0.017, N = 152.5593.7712.5832.4342.4202.5572.6183.863MIN: 2.41 / MAX: 4.85MIN: 3.69 / MAX: 4.19MIN: 2.41 / MAX: 9.64MIN: 2.4 / MAX: 9.97MIN: 2.38 / MAX: 13.73MIN: 2.4 / MAX: 5.3MIN: 2.59 / MAX: 4.5MIN: 3.79 / MAX: 5.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.43 / Avg: 2.58 / Max: 2.631. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-5077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.045, N = 157.87113.65311.98811.5587.3347.87712.08513.620MIN: 7.16 / MAX: 10.56MIN: 13.54 / MAX: 15.73MIN: 11.25 / MAX: 19.5MIN: 11.48 / MAX: 19.17MIN: 7.13 / MAX: 19.12MIN: 7.19 / MAX: 10.65MIN: 11.68 / MAX: 24.46MIN: 13.5 / MAX: 15.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-5077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11.57 / Avg: 11.99 / Max: 12.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.56751.1351.70252.272.8375SE +/- 0.008, N = 151.2722.5221.4481.3751.2441.3011.4662.452MIN: 1.2 / MAX: 3.38MIN: 2.47 / MAX: 2.98MIN: 1.37 / MAX: 8.4MIN: 1.36 / MAX: 1.66MIN: 1.23 / MAX: 3.26MIN: 1.24 / MAX: 3.27MIN: 1.45 / MAX: 3.38MIN: 2.42 / MAX: 4.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.38 / Avg: 1.45 / Max: 1.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.33860.67721.01581.35441.693SE +/- 0.005, N = 150.7411.5050.7830.7370.7250.7360.8011.493MIN: 0.71 / MAX: 2.7MIN: 1.48 / MAX: 9.16MIN: 0.73 / MAX: 2.85MIN: 0.73 / MAX: 1.1MIN: 0.72 / MAX: 1.2MIN: 0.7 / MAX: 1.39MIN: 0.79 / MAX: 3.51MIN: 1.47 / MAX: 1.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.74 / Avg: 0.78 / Max: 0.81. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.110, N = 155.94310.5646.2375.3225.5225.8836.50510.396MIN: 5.47 / MAX: 9.31MIN: 10.43 / MAX: 11.26MIN: 5.32 / MAX: 16.05MIN: 5.29 / MAX: 6.27MIN: 5.45 / MAX: 17.02MIN: 5.44 / MAX: 8.54MIN: 6.43 / MAX: 8.41MIN: 10.29 / MAX: 18.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 5.35 / Avg: 6.24 / Max: 6.491. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 2.30, N = 3166.07126.28215.76214.15165.87167.47213.01127.051. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 213.33 / Avg: 215.76 / Max: 220.361. (CXX) g++ options: -O2 -lOpenCL

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA25677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005000M10000M15000M20000M25000MSE +/- 148039451.93, N = 317490744260241183031901322383817013388156320175380827801754487013013335266100240553723801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA25677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004000M8000M12000M16000M20000MMin: 12928360310 / Avg: 13223838170 / Max: 133879069401. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e1377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.48, N = 3161.02122.56203.19203.44160.12161.06203.79122.641. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e1377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 202.24 / Avg: 203.19 / Max: 203.711. (CXX) g++ options: -O3

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 9.35, N = 91551.492158.451172.131199.831507.331562.221197.052117.951. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 1141.71 / Avg: 1172.13 / Max: 1201.461. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO Optimized77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200192.36183.09201.93201.95190.87192.75202.76183.17

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 0.40, N = 32067.232105.732235.312228.872066.072069.752237.082112.15MIN: 2021.19 / MAX: 2109.88MIN: 2070.42 / MAX: 2146.74MIN: 2217.92 / MAX: 2257.35MIN: 2216.04 / MAX: 2250MIN: 2022.59 / MAX: 2107.46MIN: 2024.37 / MAX: 2112.67MIN: 2217.88 / MAX: 2258.4MIN: 2081.33 / MAX: 2147.821. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 2234.54 / Avg: 2235.31 / Max: 2235.871. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.26, N = 3134.78100.60174.24173.72134.16135.18174.02100.47
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 173.78 / Avg: 174.24 / Max: 174.69

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1M77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KSE +/- 32.54, N = 37738.010059.77123.67002.27780.87745.27171.712360.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1M77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KMin: 7063.2 / Avg: 7123.57 / Max: 7174.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KSE +/- 8.95, N = 310989.4112794.7511043.4811044.4611060.8010954.1111031.3412761.881. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KMin: 11028.44 / Avg: 11043.48 / Max: 11059.411. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.64, N = 3115.7586.30151.72150.66115.54115.82152.6887.441. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 150.46 / Avg: 151.72 / Max: 152.541. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bare77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.45450.9091.36351.8182.2725SE +/- 0.006, N = 31.4682.0181.2311.2341.4801.4651.2372.0201. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bare77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.22 / Avg: 1.23 / Max: 1.241. (CXX) g++ options: -O3

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.10, N = 3116.8094.77142.81143.24115.88116.73142.8595.691. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 142.66 / Avg: 142.81 / Max: 142.991. (CXX) g++ options: -O3 -fPIC -lm

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.00, N = 39510780799494791061. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 79.5 / Avg: 79.5 / Max: 79.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KSE +/- 23.08, N = 3748970257683767977837765774571981. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790014002800420056007000Min: 7637 / Avg: 7682.83 / Max: 7710.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900110220330440550SE +/- 0.17, N = 34484953813784424453824981. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790090180270360450Min: 380.5 / Avg: 380.83 / Max: 3811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900170340510680850SE +/- 0.60, N = 36677725525556766685507671. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900140280420560700Min: 551.5 / Avg: 552.33 / Max: 553.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 3.11, N = 3167019191304127316401669131819361. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1300 / Avg: 1303.83 / Max: 13101. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790015003000450060007500SE +/- 23.47, N = 3589267154656467857475839467467911. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: Parallel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012002400360048006000Min: 4624 / Avg: 4655.67 / Max: 4701.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KSE +/- 3.09, N = 3533356763992399452828381398557961. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: Standard77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790015003000450060007500Min: 3985.5 / Avg: 3991.67 / Max: 39951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011M22M33M44M55MSE +/- 210730.41, N = 1134904509507967392795747027167188382738503549995528121767474809351. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009M18M27M36M45MMin: 26455572 / Avg: 27957469.82 / Max: 287915021. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.20, N = 3103.9676.35134.80135.04103.29104.03134.0877.02
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-Only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 134.59 / Avg: 134.8 / Max: 135.19

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012M24M36M48M60MSE +/- 333145.62, N = 34209159455350145320297763275994242126976414115323200953956368330
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790010M20M30M40M50MMin: 31421530 / Avg: 32029775.67 / Max: 32569453

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1M77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KSE +/- 6.89, N = 310240.714144.37963.97962.210277.310175.67957.914044.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1M77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KMin: 7950.1 / Avg: 7963.87 / Max: 7971.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 8077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.02, N = 311.8012.2011.1310.9711.8211.6111.1211.981. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 8077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11.11 / Avg: 11.13 / Max: 11.161. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 8077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.01, N = 312.0912.5311.4111.2812.1111.9611.4412.271. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 8077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11.4 / Avg: 11.41 / Max: 11.431. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009K18K27K36K45KSE +/- 42.32, N = 326811.9043264.2026610.5326241.3226715.2026612.6626385.9042376.801. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79008K16K24K32K40KMin: 26526.91 / Avg: 26610.53 / Max: 26663.661. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.35, N = 392.7169.91114.28113.8990.4993.34115.5470.29
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 113.67 / Avg: 114.28 / Max: 114.86

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.44, N = 391.2369.53111.95110.9190.7991.41112.8569.85
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 111.08 / Avg: 111.95 / Max: 112.53

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.54251.0851.62752.172.7125SE +/- 0.004557, N = 31.9744482.4017551.4268981.4324541.9836601.9752501.4310092.4110401. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.42 / Avg: 1.43 / Max: 1.431. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: Kostya77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.30052.6013.90155.2026.5025SE +/- 0.01, N = 35.785.785.565.555.785.775.565.761. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: Kostya77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 5.55 / Avg: 5.56 / Max: 5.571. (CXX) g++ options: -O3

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.58221.16441.74662.32882.911SE +/- 0.001409, N = 32.0733212.5876191.4882261.4909012.0884382.0786131.4902002.5739041. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.49 / Avg: 1.49 / Max: 1.491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 9077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.01, N = 311.5712.0010.9310.7611.6111.4310.9411.781. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 9077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 10.92 / Avg: 10.93 / Max: 10.941. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.46410.92821.39231.85642.3205SE +/- 0.00775, N = 31.603831.190062.062262.042441.600571.605522.062851.19044
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.05 / Avg: 2.06 / Max: 2.08

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfig77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.14, N = 378.7459.2596.2297.4077.6677.8896.3058.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfig77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 95.95 / Avg: 96.22 / Max: 96.4

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 9077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.00, N = 311.9012.3211.2111.0711.9211.7611.2212.091. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 9077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11.21 / Avg: 11.21 / Max: 11.221. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79006001200180024003000SE +/- 0.92, N = 32282.731678.882896.312893.482225.662289.262896.001683.03MIN: 2256.18MIN: 1673.29MIN: 2889.01MIN: 2889.6MIN: 2213.52MIN: 2263.84MIN: 2885.46MIN: 1677.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500Min: 2894.5 / Avg: 2896.31 / Max: 2897.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79006001200180024003000SE +/- 2.85, N = 32285.981680.332895.712892.902223.942272.722888.441677.70MIN: 2258.7MIN: 1675.48MIN: 2880.28MIN: 2888.21MIN: 2210.21MIN: 2247.96MIN: 2854.93MIN: 1673.081. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500Min: 2891.5 / Avg: 2895.71 / Max: 2901.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79006001200180024003000SE +/- 2.35, N = 32294.351675.222897.712897.082231.812292.332897.051675.60MIN: 2263.65MIN: 1671.1MIN: 2889.51MIN: 2893.38MIN: 2215.43MIN: 2268.98MIN: 2882.96MIN: 1671.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500Min: 2893.64 / Avg: 2897.71 / Max: 2901.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C267077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.07, N = 379.4074.2579.9879.5577.6180.1979.7975.531. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C267077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075Min: 79.88 / Avg: 79.98 / Max: 80.121. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandom77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.40730.81461.22191.62922.0365SE +/- 0.00, N = 31.791.791.721.721.791.791.731.811. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandom77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.72 / Avg: 1.72 / Max: 1.721. (CXX) g++ options: -O3

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.15, N = 384.6559.7381.9586.4783.7984.9987.1059.021. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 81.65 / Avg: 81.95 / Max: 82.151. (CXX) g++ options: -O2 -lOpenCL

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 0.41, N = 31149.16856.021452.401450.631110.931156.111450.70854.95MIN: 1126.63MIN: 851.48MIN: 1447.04MIN: 1448.24MIN: 1100.71MIN: 1135.88MIN: 1435.36MIN: 851.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1451.81 / Avg: 1452.4 / Max: 1453.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 1.23, N = 31152.24855.911450.481453.821113.961155.041450.82855.55MIN: 1133.82MIN: 851.85MIN: 1445.4MIN: 1450.65MIN: 1102.31MIN: 1129.24MIN: 1438.48MIN: 851.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1448.35 / Avg: 1450.48 / Max: 1452.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 0.60, N = 31154.55858.831452.691444.741112.461155.401446.49855.54MIN: 1130.74MIN: 851.32MIN: 1448.33MIN: 1440.66MIN: 1094.16MIN: 1130.22MIN: 1430.15MIN: 851.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1451.53 / Avg: 1452.69 / Max: 1453.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C755277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480SE +/- 0.33, N = 370.9166.5973.0871.9767.7871.9372.8765.951. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C755277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670Min: 72.45 / Avg: 73.08 / Max: 73.571. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.00, N = 34.604.464.754.757.244.614.764.45
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.75 / Avg: 4.75 / Max: 4.75

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005K10K15K20K25KSE +/- 40.13, N = 31564021166123521215615748155941209021212
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004K8K12K16K20KMin: 12282 / Avg: 12352 / Max: 12421

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.02, N = 310.9610.418.428.6111.1010.998.3210.281. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 8.4 / Avg: 8.42 / Max: 8.451. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.93831.87662.81493.75324.6915SE +/- 0.01, N = 31.904.161.711.711.721.761.854.17MIN: 1.83 / MAX: 2.67MIN: 4.11 / MAX: 4.2MIN: 1.69 / MAX: 3.07MIN: 1.7 / MAX: 1.75MIN: 1.7 / MAX: 2.15MIN: 1.7 / MAX: 3.08MIN: 1.84 / MAX: 2.07MIN: 4.14 / MAX: 4.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.7 / Avg: 1.71 / Max: 1.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformer77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.04, N = 3100.1393.50110.17110.1099.54100.43110.6790.21MIN: 98.97 / MAX: 104.21MIN: 93.19 / MAX: 97.76MIN: 109.46 / MAX: 111.5MIN: 109.45 / MAX: 116.06MIN: 98.35 / MAX: 108.29MIN: 98.86 / MAX: 105.15MIN: 109.86 / MAX: 120.66MIN: 89.92 / MAX: 96.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformer77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 110.1 / Avg: 110.17 / Max: 110.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.01, N = 34.9110.344.734.784.614.834.8110.51MIN: 4.56 / MAX: 6.15MIN: 10.27 / MAX: 10.81MIN: 4.68 / MAX: 5.18MIN: 4.74 / MAX: 5.24MIN: 4.51 / MAX: 14.57MIN: 4.51 / MAX: 7.13MIN: 4.74 / MAX: 6.32MIN: 10.31 / MAX: 17.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.72 / Avg: 4.73 / Max: 4.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.01, N = 310.3311.749.129.179.0910.029.2011.73MIN: 9.5 / MAX: 11.46MIN: 11.43 / MAX: 21.52MIN: 8.99 / MAX: 9.91MIN: 9.02 / MAX: 9.75MIN: 8.76 / MAX: 10.49MIN: 9.18 / MAX: 19.45MIN: 8.98 / MAX: 10.63MIN: 11.48 / MAX: 12.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.11 / Avg: 9.12 / Max: 9.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.12, N = 313.1214.0912.0312.1911.4012.0612.3413.70MIN: 12.22 / MAX: 14.69MIN: 13.9 / MAX: 14.24MIN: 11.74 / MAX: 13.04MIN: 11.76 / MAX: 12.93MIN: 11.18 / MAX: 13.15MIN: 11.25 / MAX: 14.07MIN: 11.85 / MAX: 14.12MIN: 13.55 / MAX: 14.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11.9 / Avg: 12.03 / Max: 12.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet5077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.04, N = 311.5212.2011.0611.119.9110.3411.1112.09MIN: 10.79 / MAX: 13.36MIN: 12.02 / MAX: 13.2MIN: 10.94 / MAX: 11.76MIN: 11.03 / MAX: 11.66MIN: 9.79 / MAX: 11.38MIN: 9.67 / MAX: 12.24MIN: 10.95 / MAX: 12.56MIN: 11.98 / MAX: 13.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet5077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11 / Avg: 11.06 / Max: 11.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.05082.10163.15244.20325.254SE +/- 0.00, N = 34.674.624.244.244.254.664.434.62MIN: 4.37 / MAX: 5.86MIN: 4.55 / MAX: 5.18MIN: 4.21 / MAX: 4.84MIN: 4.22 / MAX: 4.83MIN: 4.19 / MAX: 5.65MIN: 4.36 / MAX: 5.78MIN: 4.39 / MAX: 5MIN: 4.55 / MAX: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4.24 / Avg: 4.24 / Max: 4.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet1877007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.09, N = 36.967.165.655.565.786.035.687.13MIN: 6.51 / MAX: 8.09MIN: 7 / MAX: 7.92MIN: 5.5 / MAX: 6.42MIN: 5.51 / MAX: 6.33MIN: 5.57 / MAX: 12.93MIN: 5.61 / MAX: 7.05MIN: 5.51 / MAX: 7.09MIN: 6.99 / MAX: 7.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet1877007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 5.55 / Avg: 5.65 / Max: 5.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg1677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430SE +/- 0.03, N = 326.9124.2025.8525.8824.3525.4325.9124.24MIN: 25.94 / MAX: 29.02MIN: 23.94 / MAX: 25.17MIN: 25.64 / MAX: 31.08MIN: 25.66 / MAX: 26.69MIN: 24.09 / MAX: 34.85MIN: 24.43 / MAX: 27.56MIN: 25.66 / MAX: 27.54MIN: 23.97 / MAX: 25.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg1677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430Min: 25.81 / Avg: 25.85 / Max: 25.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.04, N = 36.708.015.645.735.305.695.958.07MIN: 6.24 / MAX: 7.84MIN: 7.91 / MAX: 8.62MIN: 5.54 / MAX: 6.73MIN: 5.68 / MAX: 6.22MIN: 5.22 / MAX: 6.91MIN: 5.28 / MAX: 6.93MIN: 5.85 / MAX: 7.49MIN: 7.97 / MAX: 9.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 5.59 / Avg: 5.64 / Max: 5.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.3150.630.9451.261.575SE +/- 0.00, N = 30.591.390.530.530.540.570.531.40MIN: 0.56 / MAX: 1.26MIN: 1.37 / MAX: 1.49MIN: 0.52 / MAX: 0.93MIN: 0.52 / MAX: 0.87MAX: 0.72MIN: 0.54 / MAX: 1.6MIN: 0.52 / MAX: 0.66MIN: 1.36 / MAX: 3.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.53 / Avg: 0.53 / Max: 0.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.94281.88562.82843.77124.714SE +/- 0.00, N = 32.914.192.692.722.502.702.864.18MIN: 2.68 / MAX: 4.44MIN: 4.14 / MAX: 4.62MIN: 2.66 / MAX: 3.21MIN: 2.68 / MAX: 3.26MIN: 2.46 / MAX: 3.01MIN: 2.48 / MAX: 5.14MIN: 2.81 / MAX: 4.44MIN: 4.15 / MAX: 4.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.69 / Avg: 2.69 / Max: 2.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.68851.3772.06552.7543.4425SE +/- 0.00, N = 31.713.061.611.611.501.581.673.06MIN: 1.61 / MAX: 2.55MIN: 3.03 / MAX: 3.46MIN: 1.59 / MAX: 2MIN: 1.59 / MAX: 2.01MIN: 1.48 / MAX: 1.65MIN: 1.48 / MAX: 2.46MIN: 1.64 / MAX: 2.16MIN: 3.03 / MAX: 3.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.6 / Avg: 1.61 / Max: 1.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.7831.5662.3493.1323.915SE +/- 0.00, N = 31.533.481.581.581.451.491.603.48MIN: 1.47 / MAX: 3.01MIN: 3.44 / MAX: 3.9MIN: 1.56 / MAX: 2.18MIN: 1.57 / MAX: 1.93MIN: 1.43 / MAX: 1.65MIN: 1.44 / MAX: 2.07MIN: 1.58 / MAX: 1.99MIN: 3.45 / MAX: 3.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.57 / Avg: 1.58 / Max: 1.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.67051.3412.01152.6823.3525SE +/- 0.00, N = 31.502.971.531.531.421.501.582.98MIN: 1.39 / MAX: 2.4MIN: 2.94 / MAX: 3.32MIN: 1.5 / MAX: 2.03MIN: 1.51 / MAX: 1.94MIN: 1.4 / MAX: 1.85MIN: 1.39 / MAX: 2.44MIN: 1.53 / MAX: 3.86MIN: 2.94 / MAX: 3.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.52 / Avg: 1.53 / Max: 1.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.76731.53462.30193.06923.8365SE +/- 0.00, N = 31.983.391.911.921.871.982.053.41MIN: 1.83 / MAX: 3.36MIN: 3.36 / MAX: 3.7MIN: 1.88 / MAX: 2.37MIN: 1.89 / MAX: 2.4MIN: 1.83 / MAX: 2.22MIN: 1.84 / MAX: 3.02MIN: 2 / MAX: 2.62MIN: 3.38 / MAX: 3.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.91 / Avg: 1.91 / Max: 1.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.00, N = 37.398.676.896.906.547.127.138.40MIN: 6.93 / MAX: 8.47MIN: 8.58 / MAX: 9.22MIN: 6.85 / MAX: 7.4MIN: 6.86 / MAX: 7.51MIN: 6.46 / MAX: 8.01MIN: 6.65 / MAX: 8.21MIN: 7.05 / MAX: 8.48MIN: 8.31 / MAX: 8.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 6.89 / Avg: 6.89 / Max: 6.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 6.34, N = 31034.061179.601306.121298.341039.001032.401315.781190.80MIN: 699.51 / MAX: 1128.89MIN: 1028.22 / MAX: 1530.8MIN: 773.95 / MAX: 1444.66MIN: 960.85 / MAX: 1409.2MIN: 913.61 / MAX: 1111.36MIN: 820.72 / MAX: 1126.15MIN: 728.56 / MAX: 1437.75MIN: 1049.79 / MAX: 1286.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 1295.28 / Avg: 1306.12 / Max: 1317.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.14082.28163.42244.56325.704SE +/- 0.01, N = 33.855.073.053.063.843.853.025.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.03 / Avg: 3.05 / Max: 3.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 5.45, N = 31015.271153.461309.261293.341016.681032.671303.001159.38MIN: 718.11 / MAX: 1124.23MIN: 731.93 / MAX: 1335.35MIN: 749.1 / MAX: 1427.46MIN: 914.71 / MAX: 1411.42MIN: 897.5 / MAX: 1118.4MIN: 975.43 / MAX: 1129.72MIN: 1221.08 / MAX: 1432.12MIN: 1036.64 / MAX: 1295.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 1298.37 / Avg: 1309.26 / Max: 1315.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.16782.33563.50344.67125.839SE +/- 0.02, N = 33.935.193.043.073.923.873.065.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.02 / Avg: 3.04 / Max: 3.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Exhaustive77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.26570.53140.79711.06281.3285SE +/- 0.0005, N = 30.87771.18090.67250.67170.87900.87600.68151.18111. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Exhaustive77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.67 / Avg: 0.67 / Max: 0.671. (CXX) g++ options: -O3 -flto -pthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserID77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.11, N = 39.859.729.349.409.839.779.469.961. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserID77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.11 / Avg: 9.34 / Max: 9.481. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.02, N = 39.8610.069.519.509.959.929.1110.101. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweet77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.47 / Avg: 9.51 / Max: 9.551. (CXX) g++ options: -O3

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.82581.65162.47743.30324.129SE +/- 0.003762, N = 32.9944693.6700942.1647602.1597073.0002752.9865162.1590673.6659111. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.16 / Avg: 2.16 / Max: 2.171. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900160320480640800SE +/- 1.54, N = 3578.82651.18746.94746.15576.13581.34746.14651.71MIN: 394.1 / MAX: 612.37MIN: 573.67 / MAX: 673.86MIN: 714.17 / MAX: 765.41MIN: 724.14 / MAX: 766.22MIN: 505.33 / MAX: 597.67MIN: 454.21 / MAX: 613.21MIN: 723.99 / MAX: 764.64MIN: 621.09 / MAX: 672.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900130260390520650Min: 744.37 / Avg: 746.94 / Max: 749.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.01, N = 36.899.195.345.336.936.875.369.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 5.32 / Avg: 5.34 / Max: 5.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweets77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.00, N = 38.168.247.897.908.178.217.918.271. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweets77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 7.88 / Avg: 7.89 / Max: 7.891. (CXX) g++ options: -O3

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400SE +/- 0.45, N = 3293.37331.39386.64386.47292.09294.43379.73330.58MIN: 221.79 / MAX: 312MIN: 290.18 / MAX: 342.26MIN: 366.98 / MAX: 393.57MIN: 369.88 / MAX: 390.09MIN: 151.29 / MAX: 340.73MIN: 255.5 / MAX: 313.05MIN: 333.61 / MAX: 390.72MIN: 304.74 / MAX: 342.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790070140210280350Min: 385.75 / Avg: 386.64 / Max: 387.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.01, N = 313.6118.0710.3310.3413.6813.5710.5218.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 10.32 / Avg: 10.33 / Max: 10.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.82311.64622.46933.29244.1155SE +/- 0.005, N = 32.7013.6582.0642.0962.6992.6682.0713.658
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.06 / Avg: 2.06 / Max: 2.07

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.013, N = 35.7868.0984.5174.5555.8845.8404.5828.059
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.49 / Avg: 4.52 / Max: 4.54

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075SE +/- 0.56, N = 349.5460.7166.4066.3754.2750.1464.2461.53MIN: 31.93 / MAX: 62.29MIN: 49.57 / MAX: 69.26MIN: 52.54 / MAX: 72.87MIN: 56.61 / MAX: 70.47MIN: 43.38 / MAX: 65.85MIN: 39.21 / MAX: 63.67MIN: 35.74 / MAX: 76.68MIN: 51.95 / MAX: 117.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 65.28 / Avg: 66.4 / Max: 67.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.52, N = 380.7098.7860.2260.2473.6579.7662.2497.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 59.64 / Avg: 60.22 / Max: 61.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.29382.58763.88145.17526.469SE +/- 0.03, N = 34.865.445.675.714.764.795.755.44MIN: 3.43 / MAX: 7.38MIN: 3.77 / MAX: 13.94MIN: 4.46 / MAX: 8.96MIN: 4.14 / MAX: 17.41MIN: 3.73 / MAX: 12.41MIN: 3.62 / MAX: 17.47MIN: 4.12 / MAX: 15.9MIN: 3.81 / MAX: 14.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 5.61 / Avg: 5.67 / Max: 5.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000SE +/- 3.37, N = 3822.331102.44705.10699.47839.03834.42695.351102.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 700.77 / Avg: 705.1 / Max: 711.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.32752.6553.98255.316.6375SE +/- 0.05, N = 34.555.155.905.804.484.545.785.15MIN: 2.74 / MAX: 17.33MIN: 3.14 / MAX: 13.79MIN: 3.49 / MAX: 14.2MIN: 3.43 / MAX: 7.38MIN: 2.84 / MAX: 12.69MIN: 2.81 / MAX: 17.18MIN: 3.69 / MAX: 20.19MIN: 3.05 / MAX: 67.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 5.81 / Avg: 5.9 / Max: 5.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 5.59, N = 3878.781164.42676.76688.76892.32879.31691.781163.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000Min: 669.26 / Avg: 676.76 / Max: 687.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.87091.74182.61273.48364.3545SE +/- 0.001525, N = 33.1034173.8673512.2275092.2317983.1409103.1149242.2202513.8707271. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.23 / Avg: 2.23 / Max: 2.231. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.02, N = 38.128.9210.7810.678.628.1410.668.91MIN: 4.51 / MAX: 22.01MIN: 4.89 / MAX: 19.33MIN: 4.84 / MAX: 21.35MIN: 6.39 / MAX: 19.07MIN: 4.21 / MAX: 29.5MIN: 5.28 / MAX: 22.47MIN: 5.63 / MAX: 25.42MIN: 5.72 / MAX: 19.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 10.74 / Avg: 10.78 / Max: 10.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900150300450600750SE +/- 0.75, N = 3491.96672.13370.90374.50463.77490.93375.11672.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900120240360480600Min: 369.71 / Avg: 370.9 / Max: 372.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075SE +/- 0.03, N = 356.4447.1067.6967.8155.9956.5767.8247.231. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 67.63 / Avg: 67.69 / Max: 67.751. (CXX) g++ options: -O3 -fPIC -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.05, N = 35.816.537.577.595.775.827.576.53MIN: 3.21 / MAX: 17.52MIN: 3.39 / MAX: 14.56MIN: 3.89 / MAX: 15.51MIN: 3.97 / MAX: 15.26MIN: 3.07 / MAX: 13.01MIN: 3.02 / MAX: 17.51MIN: 3.93 / MAX: 20.27MIN: 3.38 / MAX: 14.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 7.48 / Avg: 7.57 / Max: 7.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000SE +/- 3.29, N = 3687.93917.78527.63526.47692.33686.56527.78918.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900160320480640800Min: 523.88 / Avg: 527.63 / Max: 534.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.01, N = 35.846.555.685.685.845.845.676.54MIN: 3.2 / MAX: 17.68MIN: 3.66 / MAX: 14.89MIN: 3.14 / MAX: 13.67MIN: 3.04 / MAX: 13.81MIN: 3.13 / MAX: 13.02MIN: 3.11 / MAX: 18.54MIN: 3.77 / MAX: 11.12MIN: 3.68 / MAX: 16.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 5.67 / Avg: 5.68 / Max: 5.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 1.12, N = 31369.351830.421056.821056.401368.951368.901058.541832.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1054.6 / Avg: 1056.82 / Max: 1058.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.09680.19360.29040.38720.484SE +/- 0.00, N = 30.380.430.360.360.380.370.360.43MIN: 0.23 / MAX: 13MIN: 0.26 / MAX: 9.51MIN: 0.22 / MAX: 8.48MIN: 0.22 / MAX: 7.98MIN: 0.24 / MAX: 2.35MIN: 0.23 / MAX: 12.31MIN: 0.22 / MAX: 12.84MIN: 0.26 / MAX: 8.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012345Min: 0.36 / Avg: 0.36 / Max: 0.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79006K12K18K24K30KSE +/- 16.00, N = 321050.5027518.7816510.7316444.4420765.7621184.2016423.7727522.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005K10K15K20K25KMin: 16479.38 / Avg: 16510.73 / Max: 16531.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.16430.32860.49290.65720.8215SE +/- 0.00, N = 30.640.730.630.630.630.640.630.72MIN: 0.36 / MAX: 12.27MIN: 0.39 / MAX: 9.37MIN: 0.34 / MAX: 8.02MIN: 0.39 / MAX: 1.84MIN: 0.38 / MAX: 8.56MIN: 0.37 / MAX: 13.2MIN: 0.34 / MAX: 12.67MIN: 0.4 / MAX: 8.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.63 / Avg: 0.63 / Max: 0.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004K8K12K16K20KSE +/- 0.99, N = 312534.5216311.479490.509510.3512608.1412469.449516.2616466.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KMin: 9488.78 / Avg: 9490.5 / Max: 9492.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, Onecoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060K120K180K240K300KSE +/- 1138.26, N = 132205502951301673431688102209602178301656602956601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, Onecoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050K100K150K200K250KMin: 159580 / Avg: 167343.08 / Max: 1766601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA409677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060K120K180K240K300KSE +/- 6.07, N = 3194057.2274898.7148020.7147994.7194261.5193624.5147943.7275022.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA409677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050K100K150K200K250KMin: 148008.6 / Avg: 148020.67 / Max: 148027.91. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA409677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009001800270036004500SE +/- 0.25, N = 32958.44201.82265.12265.52968.42954.22265.44203.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA409677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79007001400210028003500Min: 2264.8 / Avg: 2265.1 / Max: 2265.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075SE +/- 0.87, N = 361.6352.0766.5757.1153.7653.9362.4758.201. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 64.82 / Avg: 66.57 / Max: 67.481. (CXX) g++ options: -O2 -lOpenCL

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Medium77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.00, N = 311.3213.979.129.1011.3611.339.0913.891. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Medium77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 9.12 / Avg: 9.12 / Max: 9.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790010K20K30K40K50KSE +/- 16.61, N = 343910.5344535.6031737.6131784.5244080.0843900.9131801.6944554.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79008K16K24K32K40KMin: 31705.19 / Avg: 31737.61 / Max: 31760.131. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.00, N = 311.8415.629.239.2311.9311.859.2215.651. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 9.23 / Avg: 9.23 / Max: 9.231. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per Pixel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670SE +/- 0.02, N = 348.9534.5464.3364.3748.7949.0364.3334.031. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per Pixel77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 64.31 / Avg: 64.33 / Max: 64.361. (CC) gcc options: -lm -lpthread -O3

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900150300450600750SE +/- 0.22, N = 3650.21703.74630.93629.80647.74650.70630.50703.55
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900120240360480600Min: 630.56 / Avg: 630.93 / Max: 631.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.0028, N = 36.14558.51764.75364.76336.16446.11824.75808.5267
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.75 / Avg: 4.75 / Max: 4.76

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265SE +/- 0.29, N = 348.9339.7455.8056.4148.3448.7756.3340.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455Min: 55.44 / Avg: 55.8 / Max: 56.36

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900150300450600750SE +/- 0.30, N = 3651.14705.41630.99630.55649.26651.97630.90704.98
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900120240360480600Min: 630.61 / Avg: 630.99 / Max: 631.58

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.0023, N = 36.14258.50394.75444.75766.16036.13474.75508.5038
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.75 / Avg: 4.75 / Max: 4.76

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.00532.01063.01594.02125.0265SE +/- 0.003, N = 33.6864.4523.0583.0423.6803.6843.0344.4681. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.05 / Avg: 3.06 / Max: 3.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.16, N = 386.9096.5584.2684.2286.9287.6784.0196.89
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 84.06 / Avg: 84.26 / Max: 84.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670SE +/- 0.07, N = 346.0262.1235.6035.6146.0145.6235.7061.85
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860Min: 35.46 / Avg: 35.6 / Max: 35.68

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860SE +/- 0.08, N = 344.6038.6151.5551.4944.0844.5751.9138.67
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 51.38 / Avg: 51.55 / Max: 51.63

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860SE +/- 0.45, N = 344.7037.9150.7750.8144.3344.1853.1337.931. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455Min: 50.26 / Avg: 50.77 / Max: 51.671. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.1272.2543.3814.5085.635SE +/- 0.002307, N = 34.0526405.0088202.9059882.9080294.0796294.0622212.9011614.9949201. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.9 / Avg: 2.91 / Max: 2.911. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012002400360048006000SE +/- 54.15, N = 35379.05206.55133.05239.25130.45186.45039.85176.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009001800270036004500Min: 5069.6 / Avg: 5132.97 / Max: 5240.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860SE +/- 0.03, N = 346.451.635.935.946.845.835.751.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 35.9 / Avg: 35.93 / Max: 361. (CC) gcc options: -O3 -pthread -lz -llzma

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.16792.33583.50374.67165.8395SE +/- 0.002271, N = 34.1528345.1694642.9660522.9683644.1815694.1555652.9695585.1907011. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 51277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.96 / Avg: 2.97 / Max: 2.971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.18112.36223.54334.72445.9055SE +/- 0.001126, N = 34.2029635.2011372.9807822.9813094.2289764.1784612.9777735.2492151. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.98 / Avg: 2.98 / Max: 2.981. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500SE +/- 6.92, N = 31452.371498.341322.961299.851401.101428.571304.941464.481. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1314.23 / Avg: 1322.96 / Max: 1336.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480SE +/- 0.12, N = 369.6174.1062.3862.7768.9169.6862.5774.15
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670Min: 62.16 / Avg: 62.38 / Max: 62.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.10, N = 357.4580.9548.0947.7858.0457.3947.9380.89
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075Min: 47.92 / Avg: 48.09 / Max: 48.25

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.21292.42583.63874.85166.0645SE +/- 0.000394, N = 34.2971275.3610253.0396273.0391884.3287694.2982683.0304735.3905231. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 102477007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.04 / Avg: 3.04 / Max: 3.041. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300SE +/- 0.33, N = 3248246259257247246256247
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250Min: 259 / Avg: 259.33 / Max: 260

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 0.15, N = 3163.45126.12212.24212.12163.05164.06212.11126.52
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 211.98 / Avg: 212.24 / Max: 212.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.0033, N = 36.11787.92844.71164.71416.13306.09524.71457.9037
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.71 / Avg: 4.71 / Max: 4.72

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 0.11, N = 3164.38126.34211.80211.97162.58164.29212.01126.31
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 211.63 / Avg: 211.8 / Max: 212

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.0024, N = 36.08327.91514.72134.71756.15076.08664.71677.9169
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 4.72 / Avg: 4.72 / Max: 4.73

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835SE +/- 0.08, N = 324.7621.1431.2631.3024.6124.9631.4321.27
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 31.1 / Avg: 31.26 / Max: 31.36

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455SE +/- 0.08, N = 340.3847.2931.9931.9440.6340.0531.8147.00
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 31.88 / Avg: 31.99 / Max: 32.15

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455SE +/- 0.03, N = 343.3847.4742.0042.2043.2643.4641.7647.12
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 41.94 / Avg: 42 / Max: 42.04

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.05, N = 392.18126.3671.4071.0892.4592.0171.82127.26
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 71.34 / Avg: 71.4 / Max: 71.51

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455SE +/- 0.23, N = 338.4729.4946.8547.2838.2838.4147.1729.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 46.38 / Avg: 46.85 / Max: 47.09

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012002400360048006000SE +/- 7.45, N = 35364.15452.45074.25072.45220.65185.25058.05436.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009001800270036004500Min: 5063.5 / Avg: 5074.17 / Max: 5088.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670SE +/- 0.12, N = 352.664.243.642.852.552.443.163.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 43.4 / Avg: 43.57 / Max: 43.81. (CC) gcc options: -O3 -pthread -lz -llzma

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050SE +/- 0.06, N = 338.2128.8845.9245.9737.6838.2546.0529.01
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900918273645Min: 45.81 / Avg: 45.92 / Max: 46.02

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025SE +/- 0.03, N = 316.9918.3221.8621.8616.8616.9721.7818.25
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 21.79 / Avg: 21.86 / Max: 21.89

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265SE +/- 0.07, N = 358.8454.5845.7445.7459.3058.9145.9154.78
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860Min: 45.66 / Avg: 45.74 / Max: 45.88

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480SE +/- 0.09, N = 371.3672.6169.9467.9371.9070.4469.3671.36
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670Min: 69.79 / Avg: 69.94 / Max: 70.11

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480SE +/- 0.31, N = 364.1770.3260.2960.3363.5063.6760.4170.33
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670Min: 59.67 / Avg: 60.29 / Max: 60.61

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.26, N = 362.3085.1949.7249.6562.9562.7549.6385.16
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480Min: 49.45 / Avg: 49.72 / Max: 50.24

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835SE +/- 0.02, N = 327.3129.6726.4326.3527.2427.3826.3429.84
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 26.41 / Avg: 26.43 / Max: 26.48

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.10, N = 3146.43202.12113.45113.78146.77146.03113.83200.92
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 113.25 / Avg: 113.45 / Max: 113.55

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.02, N = 312.4810.7115.6815.6412.3912.4315.6310.85
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 15.65 / Avg: 15.68 / Max: 15.72

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.08, N = 380.0993.3063.7663.9080.7080.4463.9592.13
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 63.6 / Avg: 63.76 / Max: 63.88

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430SE +/- 0.03, N = 318.4215.3023.3623.3518.2718.3123.3315.36
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 23.32 / Avg: 23.36 / Max: 23.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075SE +/- 0.06, N = 354.2665.3142.7942.8254.7154.5942.8665.06
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 42.67 / Avg: 42.79 / Max: 42.87

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.0166, N = 38.02747.560411.715811.72737.97518.030111.69177.6063
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 11.68 / Avg: 11.72 / Max: 11.74

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.12, N = 3124.49132.1885.3185.23125.30124.4485.48131.38
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 85.13 / Avg: 85.31 / Max: 85.54

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790013002600390052006500SE +/- 7.12, N = 35956.56277.15834.25826.36198.96188.36021.36049.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011002200330044005500Min: 5823.7 / Avg: 5834.23 / Max: 5847.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 9.87, N = 31110.21985.81248.81231.31119.31090.61180.22025.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 1232.9 / Avg: 1248.83 / Max: 1266.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012002400360048006000SE +/- 86.19, N = 35715.15794.75596.15547.85716.25702.75745.45722.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790010002000300040005000Min: 5449.9 / Avg: 5596.07 / Max: 5748.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790013002600390052006500SE +/- 11.07, N = 35055.36230.74776.64772.95126.45140.04863.46289.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011002200330044005500Min: 4762.8 / Avg: 4776.6 / Max: 4798.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790014002800420056007000SE +/- 67.24, N = 36098.46167.26086.85943.06118.56083.36167.66423.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011002200330044005500Min: 5952.5 / Avg: 6086.83 / Max: 6159.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 3.73, N = 32007.31825.41942.81937.12012.92009.01936.91824.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 1936.5 / Avg: 1942.8 / Max: 1949.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790014002800420056007000SE +/- 3.15, N = 36311.66404.16208.36188.26347.16336.66200.66696.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012002400360048006000Min: 6202.8 / Avg: 6208.3 / Max: 6213.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 2.90, N = 31445.11637.91326.31319.11454.31443.81320.81636.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speed77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1321.8 / Avg: 1326.27 / Max: 1331.71. (CC) gcc options: -O3 -pthread -lz -llzma

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Thorough77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.0037, N = 38.427611.20346.47856.40478.42588.44556.477511.20111. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Thorough77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 6.47 / Avg: 6.48 / Max: 6.491. (CXX) g++ options: -O3 -flto -pthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900150K300K450K600K750KSE +/- 1264.79, N = 3497649.99691509.80385213.54385542.17509464.00494267.87384184.41695719.391. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900120K240K360K480K600KMin: 383928.33 / Avg: 385213.54 / Max: 387743.011. (CC) gcc options: -O2 -lrt" -lrt

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900816243240SE +/- 0.04, N = 332.0531.7233.0733.1932.3732.0833.1331.431. git version 2.34.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 32.99 / Avg: 33.07 / Max: 33.141. git version 2.34.1

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430SE +/- 0.06, N = 322.4921.1717.2017.3022.9722.4517.2321.391. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 17.11 / Avg: 17.2 / Max: 17.321. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835SE +/- 0.23, N = 316.4228.0417.9017.1917.6817.9717.7727.971. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430Min: 17.66 / Avg: 17.9 / Max: 18.361. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1B77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900816243240SE +/- 0.10, N = 328.0323.3232.9933.0827.8928.0033.0423.30
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1B77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 32.81 / Avg: 32.99 / Max: 33.12

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.00, N = 3168167173174177167173167
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 173 / Avg: 173 / Max: 173

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430SE +/- 0.00, N = 324.824.725.825.824.624.625.724.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430Min: 25.8 / Avg: 25.8 / Max: 25.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.00, N = 310.310.110.610.710.310.410.610.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 10.6 / Avg: 10.6 / Max: 10.6

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900816243240SE +/- 0.08, N = 328.2321.1435.0635.0727.9327.5634.9221.08
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 34.92 / Avg: 35.06 / Max: 35.18

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790013K26K39K52K65KSE +/- 2.66, N = 346662.8762268.6435804.8235844.4447545.7346993.7035828.1462268.381. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011K22K33K44K55KMin: 35799.77 / Avg: 35804.82 / Max: 35808.771. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, Pyrite77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790040K80K120K160K200KSE +/- 21.86, N = 31494502084701148931153301533501479101154302071401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, Pyrite77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790040K80K120K160K200KMin: 114850 / Avg: 114893.33 / Max: 1149201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Garlicoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790010002000300040005000SE +/- 39.25, N = 34593.064566.153598.293579.504711.294553.533534.184390.501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Garlicoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79008001600240032004000Min: 3547.41 / Avg: 3598.29 / Max: 3675.51. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 S77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900300K600K900K1200K1500KSE +/- 2843.36, N = 3879560118912066411366270069156086888066246011822801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 S77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900200K400K600K800K1000KMin: 661250 / Avg: 664113.33 / Max: 6698001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scrypt77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900100200300400500SE +/- 1.68, N = 3325.46451.13252.86250.53332.81331.57251.35449.601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scrypt77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400Min: 250.86 / Avg: 252.86 / Max: 256.21. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Magi77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900160320480640800SE +/- 1.54, N = 3516.97726.49402.03400.76531.73517.61406.47733.321. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Magi77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900130260390520650Min: 400.19 / Avg: 402.03 / Max: 405.081. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-Groestl77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790011K22K33K44K55KSE +/- 250.27, N = 343140524903353033340431904308033330491101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-Groestl77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009K18K27K36K45KMin: 33260 / Avg: 33530 / Max: 340301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Ringcoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79006001200180024003000SE +/- 4.41, N = 32226.513027.861692.201684.912207.982268.581709.613027.671. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Ringcoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500Min: 1684.16 / Avg: 1692.2 / Max: 1699.361. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY Credits77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020K40K60K80K100KSE +/- 26.67, N = 372360963105369353840717507073053810961501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY Credits77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020K40K60K80K100KMin: 53640 / Avg: 53693.33 / Max: 537201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Deepcoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KSE +/- 16.47, N = 310410.0014700.007961.377944.4710440.0010380.007943.9214700.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Deepcoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KMin: 7944.38 / Avg: 7961.37 / Max: 7994.311. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Skeincoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790040K80K120K160K200KSE +/- 695.37, N = 31348001815401033371030301376501344501030401834101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Skeincoin77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030K60K90K120K150KMin: 102460 / Avg: 103336.67 / Max: 1047101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25x77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002004006008001000SE +/- 1.16, N = 3583.09804.79448.72446.02586.79583.56448.30804.661. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25x77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900140280420560700Min: 446.67 / Avg: 448.72 / Max: 450.71. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.00, N = 379.579.282.782.379.579.483.078.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480Min: 82.7 / Avg: 82.7 / Max: 82.7

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest Compression77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.19350.3870.58050.7740.9675SE +/- 0.00, N = 30.840.850.820.810.850.840.820.861. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest Compression77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.81 / Avg: 0.82 / Max: 0.821. (CC) gcc options: -fvisibility=hidden -O2 -lm

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 2 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790040M80M120M160M200MSE +/- 1746140.93, N = 72080100002075200001968728571975100002057600002070400001999600001923100001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 2 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790040M80M120M160M200MMin: 187130000 / Avg: 196872857.14 / Max: 2000900001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 1.20, N = 379.677.483.581.977.579.479.978.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480Min: 81.3 / Avg: 83.53 / Max: 85.4

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004K8K12K16K20KSE +/- 6.22, N = 312225.6920541.0412327.5012334.2612368.4512239.6412314.2120602.991. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004K8K12K16K20KMin: 12315.32 / Avg: 12327.5 / Max: 12335.811. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835SE +/- 0.11, N = 330.1624.3621.9622.3629.0129.1921.3123.991. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 21.73 / Avg: 21.96 / Max: 22.11. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 0.33, N = 3225223232232221225231223
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 231 / Avg: 231.67 / Max: 232

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.2177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79009001800270036004500SE +/- 40.10, N = 64131.84141.94180.63927.24090.74098.83966.63971.21. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.2177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79007001400210028003500Min: 3982.5 / Avg: 4180.62 / Max: 4234.61. (CXX) g++ options: -O3 -march=native -rdynamic

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835SE +/- 0.05, N = 326.2031.4821.1021.1526.4226.1821.1431.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900714212835Min: 21.03 / Avg: 21.1 / Max: 21.21. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.00, N = 3128125132132127126133125
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 132 / Avg: 132 / Max: 132

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455SE +/- 0.31, N = 637.1047.1331.8930.0037.3937.2730.2147.081. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 30.36 / Avg: 31.89 / Max: 32.31. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900160M320M480M640M800MSE +/- 6183407.06, N = 47563400007394300005732975005835000007593100007595500005857700007532500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900130M260M390M520M650MMin: 555170000 / Avg: 573297500 / Max: 5825600001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001530456075SE +/- 0.18, N = 362.360.663.663.060.260.666.160.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265Min: 63.3 / Avg: 63.57 / Max: 63.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.03, N = 311.911.812.312.312.111.812.411.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 12.3 / Avg: 12.33 / Max: 12.4

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300SE +/- 0.11, N = 3193.44254.36147.27147.45194.49192.78145.52255.041. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250Min: 147.13 / Avg: 147.27 / Max: 147.51. (CXX) g++ options: -O3 -flto -pthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.03364, N = 37.417135.677609.607809.594647.427427.4150510.128805.51763MIN: 6.76MIN: 4.97MIN: 9.17MIN: 9.26MIN: 6.85MIN: 6.75MIN: 9.53MIN: 4.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.55 / Avg: 9.61 / Max: 9.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.22792.45583.68374.91166.1395SE +/- 0.00921, N = 34.377363.494245.437065.416344.284964.399465.457283.49499MIN: 3.85MIN: 3.05MIN: 5.22MIN: 5.23MIN: 3.88MIN: 3.84MIN: 5.22MIN: 3.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 5.42 / Avg: 5.44 / Max: 5.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.2340.4680.7020.9361.17SE +/- 0.000920, N = 30.8108150.6261771.0399601.0361300.7949900.8110901.0397300.625231MIN: 0.74MIN: 0.56MIN: 1MIN: 1MIN: 0.73MIN: 0.74MIN: 1MIN: 0.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.04 / Avg: 1.04 / Max: 1.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003M6M9M12M15MSE +/- 122230.58, N = 814574274148048871394918814053268145725551451300814170376146468271. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003M6M9M12M15MMin: 13116005 / Avg: 13949188.38 / Max: 141540531. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005K10K15K20K25KSE +/- 13.02, N = 324004.7424918.3418180.5818201.5523901.6923930.1718217.4324557.851. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004K8K12K16K20KMin: 18165.66 / Avg: 18180.58 / Max: 18206.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: All77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400SE +/- 0.21, N = 3361.28204.91336.39318.81365.43344.88334.93201.39
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: All77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790070140210280350Min: 336.08 / Avg: 336.39 / Max: 336.8

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265SE +/- 0.12, N = 357.256.159.458.756.156.458.855.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860Min: 59.2 / Avg: 59.37 / Max: 59.6

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 24 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900200M400M600M800M1000MSE +/- 2020662.71, N = 3775660000103260000059626333359851000077655000077284000059458000010330000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 24 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900200M400M600M800M1000MMin: 592230000 / Avg: 596263333.33 / Max: 5985000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 1 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020M40M60M80M100MSE +/- 98206.13, N = 3104350000105440000100353333999000001043000001042600001000100001064600001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 1 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020M40M60M80M100MMin: 100160000 / Avg: 100353333.33 / Max: 1004800001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 4 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790090M180M270M360M450MSE +/- 265476.51, N = 34015400004110000004006033333981000004072100004012400003889800004026800001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 4 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790070M140M210M280M350MMin: 400110000 / Avg: 400603333.33 / Max: 4010200001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900200M400M600M800M1000MSE +/- 86474.15, N = 3774160000103360000059747333359741000077800000078618000059685000010340000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 5777007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900200M400M600M800M1000MMin: 597350000 / Avg: 597473333.33 / Max: 5976400001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025SE +/- 0.02, N = 319.5915.0720.9620.9919.4419.5620.9415.081. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 20.92 / Avg: 20.96 / Max: 211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860SE +/- 0.09, N = 353.253.155.255.453.053.255.153.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455Min: 55 / Avg: 55.17 / Max: 55.3

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Rating77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030K60K90K120K150KSE +/- 90.75, N = 38516612161568845683878683385433682381225281. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Rating77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020K40K60K80K100KMin: 68668 / Avg: 68844.67 / Max: 689691. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Rating77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030K60K90K120K150KSE +/- 205.24, N = 31109141482459017890334112585111375903491482101. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Rating77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030K60K90K120K150KMin: 89912 / Avg: 90178.33 / Max: 905821. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900300K600K900K1200K1500KSE +/- 5632.48, N = 312331981227889114322511495351184135121801911542401186995
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900200K400K600K800K1000KMin: 1133685 / Avg: 1143224.67 / Max: 1153183

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003K6K9K12K15KSE +/- 33.87, N = 39535.4311923.738739.838741.369511.869553.458923.1211860.081. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79002K4K6K8K10KMin: 8683.06 / Avg: 8739.83 / Max: 8800.221. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.04, N = 314.5611.0318.1618.1213.9714.6018.1911.011. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900510152025Min: 18.1 / Avg: 18.16 / Max: 18.241. (CXX) g++ options: -O2 -lOpenCL

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.90841.81682.72523.63364.542SE +/- 0.01473, N = 33.253582.506504.029414.022153.104513.245324.037512.51776MIN: 2.88MIN: 2.24MIN: 3.74MIN: 3.76MIN: 2.9MIN: 2.84MIN: 3.76MIN: 2.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4 / Avg: 4.03 / Max: 4.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.01, N = 314.7114.1015.7715.8414.6214.6915.6814.04
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 15.75 / Avg: 15.77 / Max: 15.8

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.16920.33840.50760.67680.846SE +/- 0.000677, N = 30.5998880.5906330.7519350.7519070.5886390.6002440.7500020.595211MIN: 0.56MIN: 0.54MIN: 0.73MIN: 0.73MIN: 0.56MIN: 0.55MIN: 0.72MIN: 0.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.75 / Avg: 0.75 / Max: 0.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.35630.71261.06891.42521.7815SE +/- 0.00075, N = 31.272451.143261.580541.583601.234961.272091.574921.14443MIN: 1.16MIN: 1.05MIN: 1.49MIN: 1.52MIN: 1.13MIN: 1.16MIN: 1.5MIN: 1.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.58 / Avg: 1.58 / Max: 1.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001326395265SE +/- 0.10, N = 345.4756.2937.2837.1845.9145.5437.2456.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455Min: 37.09 / Avg: 37.28 / Max: 37.381. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.02, N = 312.1113.4610.3010.3012.1312.1010.2313.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 10.26 / Avg: 10.3 / Max: 10.331. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.01, N = 312.7210.8715.0515.0812.6812.7715.0410.85
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 15.03 / Avg: 15.05 / Max: 15.08

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900140280420560700SE +/- 2.40, N = 3601592626613598606615602
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900110220330440550Min: 621 / Avg: 625.67 / Max: 629

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e1277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.00, N = 313.2010.0616.7116.6913.0813.1716.7210.071. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e1277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 16.71 / Avg: 16.71 / Max: 16.721. (CXX) g++ options: -O3

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLAC77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.00, N = 511.6911.6512.1012.1011.6711.6712.1011.571. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLAC77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 12.09 / Avg: 12.1 / Max: 12.111. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 19.03, N = 2013711655146113591403140714241676
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1377 / Avg: 1460.8 / Max: 1699

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860SE +/- 0.11, N = 346.8454.7138.1738.0447.0146.8937.9654.601. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455Min: 38.05 / Avg: 38.17 / Max: 38.391. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.23, N = 3190.92190.74199.06198.87190.37193.77199.19190.75MIN: 190.03 / MAX: 193.11MIN: 189.99 / MAX: 192.23MIN: 198.12 / MAX: 200.3MIN: 198.22 / MAX: 199.53MIN: 189.7 / MAX: 193.98MIN: 192.93 / MAX: 195.31MIN: 198.58 / MAX: 200.1MIN: 190.01 / MAX: 191.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 198.72 / Avg: 199.06 / Max: 199.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.02, N = 3184.21180.38191.09191.09183.89184.08191.08182.77MIN: 184.13 / MAX: 184.34MIN: 180.33 / MAX: 180.52MIN: 190.97 / MAX: 191.36MIN: 191.02 / MAX: 191.19MIN: 183.77 / MAX: 184.05MIN: 183.99 / MAX: 184.18MIN: 191 / MAX: 191.26MIN: 182.69 / MAX: 182.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.177007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 191.05 / Avg: 191.09 / Max: 191.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480SE +/- 0.03, N = 354.6870.4744.4943.7354.8454.6243.5669.911. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670Min: 44.43 / Avg: 44.49 / Max: 44.551. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Default77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004812162015.1813.4616.8816.8014.9415.1816.9813.58

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.12390.24780.37170.49560.6195SE +/- 0.000941, N = 30.4355140.3131160.5488220.5507240.4150220.4368590.5503330.312826MIN: 0.39MIN: 0.28MIN: 0.52MIN: 0.53MIN: 0.39MIN: 0.38MIN: 0.52MIN: 0.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 0.55 / Avg: 0.55 / Max: 0.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.37180.74361.11541.48721.859SE +/- 0.001514, N = 31.5344100.6641131.6354301.6416701.4534901.5564901.6525700.665636MIN: 1.41MIN: 0.62MIN: 1.61MIN: 1.62MIN: 1.41MIN: 1.41MIN: 1.62MIN: 0.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.63 / Avg: 1.64 / Max: 1.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.07080.14160.21240.28320.354SE +/- 0.001519, N = 30.2504830.1887950.3131290.3147640.2410040.2517770.3122500.189451MIN: 0.22MIN: 0.17MIN: 0.29MIN: 0.3MIN: 0.22MIN: 0.22MIN: 0.29MIN: 0.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012345Min: 0.31 / Avg: 0.31 / Max: 0.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860SE +/- 0.09, N = 354.4946.8852.6852.0454.4353.3852.0346.831. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455Min: 52.51 / Avg: 52.68 / Max: 52.81. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Medium77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001428425670SE +/- 0.06, N = 358.5663.1744.6844.6858.8658.7644.6563.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Medium77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001224364860Min: 44.57 / Avg: 44.68 / Max: 44.791. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.49730.99461.49191.98922.4865SE +/- 0.00, N = 32.212.192.092.082.182.172.052.211. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.09 / Avg: 2.09 / Max: 2.11. (CC) gcc options: -fvisibility=hidden -O2 -lm

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.011, N = 312.1278.43011.96111.97911.57812.11412.0698.2981. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 11.94 / Avg: 11.96 / Max: 11.981. (CXX) g++ options: -O2 -lOpenCL

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000SE +/- 32.56, N = 2018281748187117001877194218811791
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790030060090012001500Min: 1603 / Avg: 1870.55 / Max: 2125

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-mask77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.02, N = 310.6712.3810.8010.8010.3110.5410.7412.63
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-mask77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 10.76 / Avg: 10.8 / Max: 10.83

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790090M180M270M360M450MSE +/- 42003.58, N = 33857551004336033003926537333919451003915619003859116003925822004356400001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080M160M240M320M400MMin: 392572800 / Avg: 392653733.33 / Max: 3927137001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resize77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.062, N = 310.18313.30610.30610.4219.86610.03310.41713.602
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resize77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 10.22 / Avg: 10.31 / Max: 10.43

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Medium77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.26, N = 367.5589.2951.6851.1167.6967.5251.1589.451. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Medium77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 51.17 / Avg: 51.68 / Max: 52.051. (CXX) g++ options: -O3 -flto -pthread

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.02, N = 364.3885.6053.5253.2664.5264.4653.3584.901. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001632486480Min: 53.49 / Avg: 53.52 / Max: 53.561. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levels77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.012, N = 39.52210.1509.8099.8019.2479.4889.77910.279
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levels77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.79 / Avg: 9.81 / Max: 9.82

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotate77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.015, N = 39.2979.1829.5099.5058.9719.1829.4469.406
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotate77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.49 / Avg: 9.51 / Max: 9.54

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.04232.08463.12694.16925.2115SE +/- 0.00604, N = 34.326453.177494.481294.475344.174004.319024.632343.17985MIN: 4.15MIN: 3.13MIN: 4.4MIN: 4.38MIN: 4.14MIN: 4.14MIN: 4.54MIN: 3.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4.47 / Avg: 4.48 / Max: 4.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.59951.1991.79852.3982.9975SE +/- 0.02309, N = 32.502291.542072.577692.573052.334992.452222.664521.54403MIN: 2.29MIN: 1.47MIN: 2.49MIN: 2.51MIN: 2.28MIN: 2.28MIN: 2.47MIN: 1.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 2.55 / Avg: 2.58 / Max: 2.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.23020.46040.69060.92081.151SE +/- 0.008119, N = 30.9622850.3885821.0230501.0103900.9169360.9517691.0158000.359992MIN: 0.85MIN: 0.36MIN: 0.95MIN: 0.95MIN: 0.86MIN: 0.84MIN: 0.95MIN: 0.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.01 / Avg: 1.02 / Max: 1.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.87, N = 371.9990.7965.5563.0072.6372.2563.8493.601. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 63.83 / Avg: 65.55 / Max: 66.581. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, Lossless77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.014, N = 38.1716.8269.9029.9578.0508.1749.8606.7651. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, Lossless77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 9.88 / Avg: 9.9 / Max: 9.921. (CXX) g++ options: -O3 -fPIC -lm

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.03, N = 378.2999.8069.1868.5580.1577.3068.23100.141. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 69.13 / Avg: 69.18 / Max: 69.231. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 13.02, N = 51588.732155.921173.771143.011561.401514.071192.542150.581. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 1141.85 / Avg: 1173.77 / Max: 1200.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005K10K15K20K25KSE +/- 5.90, N = 323860.3125610.9621442.6721352.0124079.9923843.5121396.5925644.031. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004K8K12K16K20KMin: 21435.91 / Avg: 21442.67 / Max: 21454.421. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001122334455SE +/- 0.35, N = 1542.3341.5247.6543.9242.3342.0643.9242.37MIN: 42.27 / MAX: 42.4MIN: 41.17 / MAX: 42.01MIN: 43.99 / MAX: 49.87MIN: 43.9 / MAX: 44MIN: 42.3 / MAX: 42.43MIN: 41.98 / MAX: 42.14MIN: 43.87 / MAX: 44.14MIN: 42.26 / MAX: 42.441. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v277007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001020304050Min: 44.17 / Avg: 47.65 / Max: 49.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100SE +/- 0.55, N = 387.56103.7382.5783.8288.8687.6082.61102.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 81.52 / Avg: 82.57 / Max: 83.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoap77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 19.27, N = 42015193622422154212822011880
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoap77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 2185 / Avg: 2241.5 / Max: 2270

Java Test: Tradesoap

Ryzen 7 7700: The test quit with a non-zero exit status.

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.10, N = 3110.11134.9289.6589.96110.60109.9789.26134.801. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 89.45 / Avg: 89.65 / Max: 89.791. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.00408, N = 37.647635.726417.380147.376997.307687.639937.398685.70365MIN: 7.23MIN: 5.61MIN: 7.29MIN: 7.29MIN: 7.2MIN: 7.21MIN: 7.3MIN: 5.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 7.37 / Avg: 7.38 / Max: 7.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.03190, N = 37.346685.215727.111217.095157.080487.331747.062695.22674MIN: 7MIN: 5.15MIN: 7MIN: 7MIN: 6.98MIN: 6.99MIN: 6.99MIN: 5.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 7.08 / Avg: 7.11 / Max: 7.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.75941.51882.27823.03763.797SE +/- 0.01337, N = 33.375231.990783.265703.263863.182293.363633.272541.84748MIN: 3.09MIN: 1.8MIN: 3.2MIN: 3.2MIN: 3.09MIN: 3.08MIN: 3.2MIN: 1.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.25 / Avg: 3.27 / Max: 3.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Very Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150SE +/- 0.03, N = 3111.46118.7891.3091.22111.63111.5691.18118.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Very Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790020406080100Min: 91.24 / Avg: 91.3 / Max: 91.361. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810SE +/- 0.014, N = 35.3234.2406.6596.7005.2885.3846.6534.2991. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 677007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 6.64 / Avg: 6.66 / Max: 6.681. (CXX) g++ options: -O3 -fPIC -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.38, N = 3129.24158.66106.89106.01129.95129.25105.84158.211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 106.44 / Avg: 106.89 / Max: 107.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.12192.24383.36574.48765.6095SE +/- 0.003, N = 34.8064.7954.9784.9784.7924.8034.9864.8091. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP377007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4.97 / Avg: 4.98 / Max: 4.981. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.28, N = 3150.39181.98127.83128.58152.05149.54127.22183.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900306090120150Min: 127.28 / Avg: 127.83 / Max: 128.21. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest Compression77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.19252.3853.57754.775.9625SE +/- 0.00, N = 35.205.305.005.015.195.205.015.301. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest Compression77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 5 / Avg: 5 / Max: 5.011. (CC) gcc options: -fvisibility=hidden -O2 -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.03162.06323.09484.12645.158SE +/- 0.018, N = 33.7853.0284.5264.5573.6673.7424.5853.056
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4.49 / Avg: 4.53 / Max: 4.55

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.96441.92882.89323.85764.822SE +/- 0.013, N = 33.6903.0714.2204.2323.5843.6524.2863.174
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4.2 / Avg: 4.22 / Max: 4.24

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200SE +/- 0.38, N = 3162.38189.15136.23136.85162.39161.95136.43190.961. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4K77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 135.48 / Avg: 136.23 / Max: 136.741. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 0.12, N = 3172.81217.47137.00137.14174.52172.71137.30218.501. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 136.86 / Avg: 137 / Max: 137.241. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, Lossless77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.97921.95842.93763.91684.896SE +/- 0.019, N = 33.8723.5014.3254.3523.8973.8804.3413.6211. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, Lossless77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 4.3 / Avg: 4.32 / Max: 4.361. (CXX) g++ options: -O3 -fPIC -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.73891.47782.21672.95563.6945SE +/- 0.036, N = 32.8942.5763.2433.2502.8312.9023.2842.539
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.2 / Avg: 3.24 / Max: 3.32

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 1.62, N = 3167.51204.59136.26134.80166.27168.28134.66208.221. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 133.02 / Avg: 136.26 / Max: 137.941. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79005001000150020002500SE +/- 11.02, N = 424592294253825402540236025382348
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900400800120016002000Min: 2512 / Avg: 2537.75 / Max: 2565

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Ultra Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250SE +/- 0.22, N = 3201.63216.49160.28160.45202.80201.88160.21215.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Ultra Fast77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79004080120160200Min: 159.96 / Avg: 160.28 / Max: 160.71. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300SE +/- 0.32, N = 3207.45293.13181.36181.12209.43206.90180.45294.301. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790050100150200250Min: 180.98 / Avg: 181.36 / Max: 1821. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79001.20312.40623.60934.81246.0155SE +/- 0.00039, N = 33.909233.421075.347075.335783.890953.918165.340623.97048MIN: 3.68MIN: 3.32MIN: 5.3MIN: 5.3MIN: 3.71MIN: 3.63MIN: 5.3MIN: 3.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 5.35 / Avg: 5.35 / Max: 5.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.74451.4892.23352.9783.7225SE +/- 0.00750, N = 32.502322.260913.305143.303422.462752.507183.309032.16726MIN: 2.34MIN: 2.08MIN: 3.14MIN: 3.14MIN: 2.26MIN: 2.33MIN: 3.15MIN: 2.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 3.29 / Avg: 3.31 / Max: 3.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.30620.61240.91861.22481.531SE +/- 0.005136, N = 30.9993600.8818271.3554801.3607800.9897941.0027001.3531000.880093MIN: 0.89MIN: 0.8MIN: 1.29MIN: 1.3MIN: 0.88MIN: 0.89MIN: 1.3MIN: 0.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900246810Min: 1.35 / Avg: 1.36 / Max: 1.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Protein77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215SE +/- 0.023, N = 38.56011.3946.7116.7318.5928.5476.75711.2111. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Protein77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79003691215Min: 6.67 / Avg: 6.71 / Max: 6.751. (CXX) g++ options: -O3 -lm -ldl

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790070140210280350SE +/- 2.29, N = 3244.06335.22220.17215.04246.55243.98215.01334.751. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300Min: 215.63 / Avg: 220.17 / Max: 222.931. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400SE +/- 0.15, N = 3254.60345.40227.72226.78261.80252.79222.08344.811. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790060120180240300Min: 227.42 / Avg: 227.72 / Max: 227.891. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900100200300400500SE +/- 1.08, N = 3359.07439.56286.86286.81362.54360.58286.26437.961. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790080160240320400Min: 285.71 / Avg: 286.86 / Max: 289.021. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 10077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620SE +/- 0.01, N = 316.7416.8116.1316.1216.7916.7816.1217.031. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 10077007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790048121620Min: 16.12 / Avg: 16.13 / Max: 16.141. (CC) gcc options: -fvisibility=hidden -O2 -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900150300450600750SE +/- 2.69, N = 3609.82687.93524.24528.45616.10615.79522.04649.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900120240360480600Min: 519.72 / Avg: 524.24 / Max: 529.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900160320480640800SE +/- 0.75, N = 3668.09739.51578.51580.00677.96670.53579.19728.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080p77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900130260390520650Min: 577.42 / Avg: 578.51 / Max: 579.951. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Default77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430SE +/- 0.03, N = 326.9427.2425.8325.9526.9426.9425.9724.001. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Default77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900612182430Min: 25.78 / Avg: 25.83 / Max: 25.861. (CC) gcc options: -fvisibility=hidden -O2 -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 79000.04010.08020.12030.16040.2005SE +/- 0.001, N = 30.1560.1350.1770.1760.1480.1580.1780.126
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-only77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 790012345Min: 0.18 / Avg: 0.18 / Max: 0.18

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

Java Test: Eclipse

7700: The test quit with a non-zero exit status.

7900: The test quit with a non-zero exit status.

Ryzen 7600 AMD: The test quit with a non-zero exit status.

AMD 7600: The test quit with a non-zero exit status.

AMD 7700: The test quit with a non-zero exit status.

Ryzen 7 7700: The test quit with a non-zero exit status.

Ryzen 7600: The test quit with a non-zero exit status.

Ryzen 9 7900: The test quit with a non-zero exit status.

325 Results Shown

Timed Linux Kernel Compilation
Blender
LeelaChessZero
GNU Radio:
  Hilbert Transform
  FM Deemphasis Filter
  IIR Filter
  FIR Filter
  Signal Source (Cosine)
  Five Back to Back FIR Filters
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
nekRS
Appleseed
Blender
JPEG XL libjxl
LeelaChessZero
Blender
Appleseed:
  Disney Material
  Material Tester
JPEG XL libjxl
ONNX Runtime:
  fcn-resnet101-11 - CPU - Standard
  GPT-2 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  bertsquad-12 - CPU - Standard
  yolov4 - CPU - Standard
SVT-HEVC
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
GPAW
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
  nasnet
Rodinia
OpenSSL
Primesieve
NAS Parallel Benchmarks
Timed CPython Compilation
TNN
Blender
Xmrig
NAS Parallel Benchmarks
Tachyon
GROMACS
libavif avifenc
ONNX Runtime:
  fcn-resnet101-11 - CPU - Parallel
  GPT-2 - CPU - Parallel
  yolov4 - CPU - Parallel
  bertsquad-12 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Parallel
  super-resolution-10 - CPU - Parallel
  super-resolution-10 - CPU - Standard
Stockfish
Blender
asmFish
Xmrig
JPEG XL libjxl:
  JPEG - 80
  PNG - 80
NAS Parallel Benchmarks
Build2
Timed Godot Game Engine Compilation
Stargate Digital Audio Workstation
simdjson
Stargate Digital Audio Workstation
JPEG XL libjxl
NAMD
Timed Linux Kernel Compilation
JPEG XL libjxl
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
Ngspice
simdjson
Rodinia
oneDNN:
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Ngspice
PyPerformance
Chaos Group V-RAY
VP9 libvpx Encoding
NCNN:
  CPU - FastestDet
  CPU - vision_transformer
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
OpenVINO:
  Person Detection FP32 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
ASTC Encoder
simdjson:
  DistinctUserID
  TopTweet
Stargate Digital Audio Workstation
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
simdjson
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
Stargate Digital Audio Workstation
OpenVINO:
  Vehicle Detection FP16 - CPU:
    ms
    FPS
libavif avifenc
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
Cpuminer-Opt
OpenSSL:
  RSA4096:
    verify/s
    sign/s
Rodinia
Kvazaar
NAS Parallel Benchmarks
SVT-HEVC
C-Ray
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed PHP Compilation
Neural Magic DeepSparse:
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
SVT-AV1
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed GDB GNU Debugger Compilation
Timed Wasmer Compilation
Stargate Digital Audio Workstation
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Stargate Digital Audio Workstation:
  44100 - 512
  480000 - 1024
NAS Parallel Benchmarks
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Stargate Digital Audio Workstation
PyPerformance
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed FFmpeg Compilation
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
Timed Mesa Compilation
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    ms/batch
    items/sec
JPEG XL Decoding libjxl
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
Zstd Compression:
  8 - Decompression Speed
  8 - Compression Speed
  3 - Decompression Speed
  3 - Compression Speed
  3, Long Mode - Decompression Speed
  3, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
ASTC Encoder
Coremark
Git
VP9 libvpx Encoding
x265
Y-Cruncher
PyPerformance:
  2to3
  django_template
  pathlib
Timed MPlayer Compilation
Aircrack-ng
Cpuminer-Opt:
  Quad SHA-256, Pyrite
  Garlicoin
  Blake-2 S
  scrypt
  Magi
  Myriad-Groestl
  Ringcoin
  LBC, LBRY Credits
  Deepcoin
  Skeincoin
  x25x
PyPerformance
WebP Image Encode
Liquid-DSP
PyPerformance
NAS Parallel Benchmarks
VP9 libvpx Encoding
PyPerformance
QuantLib
Kvazaar
PyPerformance
x264
Liquid-DSP
PyPerformance:
  crypto_pyaes
  json_loads
ASTC Encoder
oneDNN:
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
Crafty
NAS Parallel Benchmarks
JPEG XL Decoding libjxl
PyPerformance
Liquid-DSP:
  24 - 256 - 57
  1 - 256 - 57
  4 - 256 - 57
  16 - 256 - 57
Xcompact3d Incompact3d
PyPerformance
7-Zip Compression:
  Decompression Rating
  Compression Rating
PHPBench
NAS Parallel Benchmarks
Rodinia
oneDNN
Timed Apache Compilation
oneDNN:
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
Y-Cruncher
PyBench
Primesieve
FLAC Audio Encoding
DaCapo Benchmark
Kvazaar
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
SVT-HEVC
Timed CPython Compilation
oneDNN:
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
VP9 libvpx Encoding
Kvazaar
WebP Image Encode
Rodinia
DaCapo Benchmark
GIMP
Algebraic Multi-Grid Benchmark
GIMP
ASTC Encoder
SVT-VP9
GIMP:
  auto-levels
  rotate
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  IP Shapes 3D - u8s8f32 - CPU
SVT-VP9
libavif avifenc
SVT-VP9
NAS Parallel Benchmarks:
  EP.C
  MG.C
TNN
x265
DaCapo Benchmark
SVT-HEVC
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
Kvazaar
libavif avifenc
SVT-AV1
LAME MP3 Encoding
SVT-AV1
WebP Image Encode
Darktable:
  Boat - CPU-only
  Masskrug - CPU-only
SVT-AV1
SVT-HEVC
libavif avifenc
Darktable
x264
DaCapo Benchmark
Kvazaar
SVT-VP9
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
LAMMPS Molecular Dynamics Simulator
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
SVT-HEVC
WebP Image Encode
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
WebP Image Encode
Darktable